A Modular Approach for Automating Video Analysis

Automating the steps involved in video processing has yet to be tackled with much success by vision developers and knowledge engineers. This is due to the difficulty in formulating vision problems and their solutions in a generalised manner. In this collaborated work, we introduce a modular approach that utilises ontologies to capture the goals, domain description and capabilities for performing video analysis. This modularisation is tested on real-world videos from an ecological source and proves useful in conceptualising and generalising video processing tasks. On a more significant note, this could be used in a framework for automatic video analysis in emerging infrastructures such as the Grid. Key words: Knowledge-Based Vision, Ontological Engineering, Automatic Video Analysis, Ontology-Based Systems

• Type: Conference
• Year: 2007
• Where: CAIP
• Authors: Gayathri Nadarajan, Arnaud Renouf
• Keywords: Automatic Video Analysis, CAIP 2007, Video Analysis, Video Processing